Hire Isaack M. - Chatbot Developer

* Maintained a robust IBM Watson chatbot for Lumen’s Century Link services, encompassing end-to-end development, continuous maintenance, and performance optimization. * Leveraged IBM Cloud's LogDNA for advanced debugging and rigorous testing of the IBM Watson Chatbot, ensuring optimal functionality and performance. * Engineered and designed Salesforce Einstein AI tailored for Lumen's Quantum Fiber product. * Assisted in developing the CI/CD pipeline for Einstein AI, extracting crucial components of the Einstein bot for seamless migration to new test and production environments using Salesforce Flosum. * Contributed to model management of the Einstein bot by categorizing and grouping utterances into their corresponding intent sets. * Built Einstein Flow Builder automation to capture the user session ID, user’s name and email linking the user to existing or new accounts tied to their profile. * Designed Einstein Bot pre-chat form to perform user authentication via session data capture prior to bot interaction. * Implemented low-level authentication logic for the enhanced Einstein chatbot using custom Apex and flow configurations.

* Collaborated with cross-functional teams using Jira for project management and team collaboration under Agile and Scrum frameworks, to integrate Amelia, a conversational AI platform, into existing software systems. * Implemented enhancements to the conversational flow of the Amelia platform via modifications to the underlying Groovy codebase, which also facilitated the extraction of relevant user information for further processing. * Trained and fine-tuned Amelia's language model to improve its ability to understand domain-specific language and terminology.

Orchestrated the design and deployment of a text channel chatbot, leveraging advanced Microsoft Azure and Bot Framework technologies, specifically tailored to fulfill the precise requirements of the Minority Business Development Agency (MBDA). Performed unit testing procedures using Python and the Bot Framework Emulator, ensuring the chatbot operated at peak performance and remained seamlessly compatible with the target environment. Developed a Google Dialogflow audio channel chatbot for the Student and Exchange Visitor Program (SEVP), designing intuitive intents and developing their associated logic in both the user interface (UI) and JavaScript fulfillment code to achieve the highest performance levels possible. Conducted rigorous testing of the Dialogflow chatbot utilizing the Dialogflow test console, ensuring that it surpassed the required standards for performance and reliability. Executed comprehensive regression testing using Node.JS and Google Cloud Platform to verify the chatbot's stability and reliability under diverse scenarios. Optimized the chatbot's dataset to deliver exceptional conversational performance and outstanding results during testing. Contributed to the technical design of the Dialogflow chatbot by expertly integrating functional requirements into the final design, delivering an end-product that effectively meets the end-users' specific needs.